Relyance AI Launches Data Journeys to Enhance AI Accountability
Relyance AI Inc., a big-data governance startup, has introduced a new platform called Data Journeys to help companies understand how their data travels across different computer systems within their organization. The platform tracks where data resides, its origin, destination, and how it’s being used by various applications and services.
Relyance AI, founded five years ago, gained prominence last October with a $32 million Series B funding. The company created a governance platform providing clear visibility into enterprise-wide data and controls to safeguard it. This platform scans all organizational data, including applications, databases, AI models, and code repositories, comparing it with company policies and regulations.
Data Journeys builds upon this core technology, tracking data throughout its journey across different systems, applications, and AI models. It offers a more comprehensive view than traditional data lineage tools, which are limited to table-to-table or column-to-column tracking. The new platform provides visibility into the full data lifecycle, from collection to transformation and usage.
Enhanced Visibility for Regulated Industries
The enhanced visibility provided by Data Journeys is particularly valuable for enterprises under increased regulatory pressure. Over 25% of Fortune 500 firms have labeled AI regulation as a risk in their SEC filings. Companies are eager to adopt AI but need to ensure accountability in how these systems use their data.
“We’re providing transparency not as a feature, but as a necessity for fairness, accountability, and trust for our customers,” said Abhi Sharma, Relyance AI co-founder and CEO, in an interview with VentureBeat.
Addressing Enterprise AI Adoption Challenges
Data Journeys can solve four major impediments to enterprise AI adoption: risk management, precise bias detection, explainability, and regulatory compliance. The platform’s tracking capabilities enable potential bias in AI models to be traced directly to its source. Sharma explained that bias often results from the data’s journey rather than poor quality in the underlying dataset.
The platform will be particularly beneficial for companies in tightly regulated industries like healthcare. CHG Healthcare Inc.’s Privacy Officer, Heather Allen, noted that Data Journeys’ automated, context-aware data lineage capabilities would address their most pressing challenges in supporting their global AI governance framework.
Looking forward, Sharma envisions building a “unified AI-native platform” for data governance, management, and compliance, with Data Journeys as a critical component. “AI agents are going to run the world, and we want to be the company that provides the infrastructure for organizations to trust and govern it,” he said.
